Optimization and Game Theory in Communications
The course will allow students to identify, classify and formulate common optimization problems in communications.The students learn a variety of algorithms to rigorously solve those optimization problems.
Furthermore, basic mathematical tools from game theory will be presented and applied in cooperative and non-cooperative communication systems.
Specifically, the following topics will be covered.
- Linear programming and resource allocation
- Convex optimization and power control
- Global optimizations and interference networks
- Non-cooperative games and distributed resource allocation
- Cooperative Games and transmit strategies in interference networks
- Coalition games and ad-hoc networks
Contact hours (SWS): 2h
Time: 11:30 - 13:00
Language: German or English
Contact hours (SWS): 1h
Language: German and English
Lecture notes are available at StudIP. The password will be announced in the first lecture.
|Week||Date||DS||Lecture||Exercise||Remark / Material|
- Dimitri P. Bertsekas:
Convex Analysis and Optimization
Cambridge University Press, 2003.
- Stephen Boyd and Vandenberghe:
Cambridge University Press, 2004.
- Hoang Tuy:
Convex Analysis and Global Optimization,
Kluwer Academic (2016).
- M.J. Osborne and A. Rubinstein:
A Course in Game Theory ,
The MIT Press, 1994
- D. Fudenberg and J. Tirole:
The MIT Press, 1991.
- M.J. Holler and G. Illing:
Einführung in die Spieltheorie,
Springer, 4. Auflage, 2000.
- A. B. MacKenzie and L. A. DaSilva:
Game Theory for Wireless Engineers (Synthesis Lectures on Communications),
Morgan & Claypool Publishers, 2006.
When applicable, current announcements can be found in Stud-IP.
Consultation hour: by agreement with Sepehr Rezvani.
Information abaut exam:
Students are requested to register by contacting Sepehr Rezvani. The following information is necessary: name, first name, matriculation no., course of study, semester, e-mail address. Do not forget to check, wether or not you have to register at your department (faculty) as well.
All participants must have a student ID and additionally a different valid ID with a photo.
In order to cancel the registration please inform Sepehr Rezvani or Petra Beyer. We need the same student information as for the registration. Do not forget to deregister at your department (faculty) as well.
Updated: Monday, 25 November 2019